Process Associates – JR40005911

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Process Associates

Bengaluru

API International Capability Centre Private Limited

Job Summary

The Master Data Analyst is responsible for the creation, maintenance, governance, and quality of master data across multiple operating companies within a Shared Services environment. This role ensures that critical business data—such as customer, vendor, employee, and financial master data—is accurate, consistent, and aligned across systems to support operational efficiency and financial integrity.

The Master Data Analyst partners closely with Finance, HR, Procurement, IT, and operating company stakeholders to manage data standards, resolve data issues, and support system integrations, including merger and acquisition (M&A) activities.

Key Responsibilities

Master Data Maintenance & Governance

Create, update, and deactivate master data records (e.g., customer, vendor, employee, chart of accounts) in accordance with established policies and controls.
Ensure data accuracy, completeness, and consistency across ERP and upstream/downstream systems.
Enforce data governance standards, naming conventions, and required field completion.

Data Quality & Integrity

Perform regular data audits to identify duplicates, inconsistencies, and errors.
Investigate and resolve data discrepancies impacting operational and financial processes.
Monitor data quality metrics and support continuous improvement initiatives.

Scenario Management & Issue Resolution

Analyze and resolve complex master data scenarios, including:
- Duplicate records
- Cross-operating company conflicts
- Data mismatches across systems
- Incomplete or incorrect data requests
Escalate issues appropriately and collaborate with SMEs and business stakeholders for resolution.

Cross-Functional Collaboration

Partner with Finance, HR, Procurement, and Operations teams to ensure data aligns with business requirements.
Collaborate with IT on system integrations, data mapping, and interface issues.
Provide support and guidance to operating companies on master data processes and policies.

M&A Integration Support

Support onboarding of new operating companies by setting up master data structures and standards.
Assist with data mapping, cleansing, and migration activities during acquisitions.
Identify and help standardize data across newly integrated entities.

Process Documentation & Training

Develop and maintain process documentation, playbooks, and training materials.
Document common scenarios, decision rules, and escalation paths.
Support training for Shared Services and operating company users.

Controls & Compliance

Ensure adherence to internal controls, audit requirements, and compliance standards (including SOX where applicable).
Maintain proper documentation and approvals for sensitive data changes (e.g., banking, tax identifiers).

Continuous Improvement

Identify opportunities to standardize and streamline master data processes across operating companies.
Support automation and system enhancements to improve efficiency and data accuracy.
Contribute to building a scalable Shared Services data model.

Qualifications

3+ years of experience in master data, data governance, ERP administration, or related field
Strong understanding of business processes (Finance, HR, Procurement) and their data dependencies
Experience working with ERP systems (e.g., Oracle, AX, WebApps, Coins etc.)
Strong analytical and problem-solving skills
High attention to detail and commitment to data accuracy
Ability to manage multiple priorities across a multi-entity environment
Strong communication and stakeholder management skills

Preferred Qualifications

Experience in a Shared Services or multi-operating company environment
Exposure to M&A integrations or data migration projects
Knowledge of data governance frameworks or master data management (MDM) tools
Advanced Excel or data analysis skills
Experience documenting processes and building training materials

Success Metrics (Optional but Recommended)

Data accuracy and error rates
Duplicate reduction metrics
Turnaround time for data requests
SLA adherence
Number of escalations / issue resolution time
Data quality improvement trends

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